{
 "cells": [
  {
   "cell_type": "markdown",
   "id": "26ba1f6b",
   "metadata": {},
   "source": [
    "### 分区间可视化：将价格划分为不同的区间，计算每个区间的需求量，并以条形图的形式展示"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "id": "1bcec0e6",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1200x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "train_cleaned['item_price_range'] = pd.cut(train_cleaned['item_price'], bins=[50, 100, 150, 200, 300, 500, 1000, 2000], include_lowest=True)\n",
    "price_range_sales = train_cleaned.groupby('item_price_range')['ord_qty'].sum().reset_index()\n",
    "\n",
    "plt.figure(figsize=(12, 5))\n",
    "sns.barplot(x='item_price_range', y='ord_qty', data=price_range_sales)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f3e98115",
   "metadata": {},
   "source": [
    "### 产品所在区域对需求量的影响，以及不同区域的产品需求量有何特性"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "6cd086a7",
   "metadata": {},
   "source": [
    "#### 计算每个区域的总需求量，并绘制条形图进行可视化，以直观地了解不同区域的需求量差异。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "id": "1bb2c353",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "sns.set(rc={'patch.edgecolor': 'black', 'patch.linewidth': 1})\n",
    "sales_by_region = train_cleaned.groupby('sales_region_code')['ord_qty'].sum().reset_index()\n",
    "plt.figure(figsize=(10, 5))\n",
    "sns.barplot(x='sales_region_code', y='ord_qty', data=sales_by_region)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "id": "f25c9e49",
   "metadata": {},
   "source": [
    "### 不同区域的产品需求量的分布特征，例如需求量的均值、中位数、标准差等。我们可以使用箱线图或小提琴图对这些统计量进行可视化。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "id": "6fcf77e0",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "sns.set_style('white')\n",
    "sns.set(rc={'patch.edgecolor': 'black', 'patch.linewidth': 1})\n",
    "sns.boxplot(x='sales_region_code', y='ord_qty', data=train_cleaned)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "id": "02d279ff",
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1000x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "plt.figure(figsize=(10, 5))\n",
    "sns.set_style('white')\n",
    "sns.set(rc={'patch.edgecolor': 'black', 'patch.linewidth': 1})\n",
    "sns.violinplot(x='sales_region_code', y='ord_qty', data=train_cleaned, cut=0)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "id": "a2ea2a5d",
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3 (ipykernel)",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.13"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 5
}
